multicon (version 1.6)

cor.comb.rep: Replicabilities and Correlations

Description

A function for getting the replicabilities for cor.comb() correlations See cor.comb() and vector.splithalf() for more information.

Usage

cor.comb.rep(x1, x2, x3, x4, set1, set2, set3, set4, sims = 100, CI = 0.95)

Arguments

x1

vector paired with set1

x2

vector paired with set2

x3

vector paired with set3

x4

vector paired with set4

set1

matrix paired with x1

set2

matrix paired with x2

set3

matrix paired with x3

set4

matrix paired with x 4

sims

Number of simulations to be run in the randomization test (100 by default).

CI

Desired confidence interval limits. Default is .95.

Value

N

The sample size. *See 'note'

Rep

Estimated replicability

SE

Standard Error of the estimated replicability

UL

Upper limit of the CI

LL

Lower limit of the CI

See Also

cor.comb vector.splithalf

Examples

data(RSPdata)
names(RSPdata)
	#Computing the relationship between self reported extraversion and 
	#Behavior measured by RBQ1 "Interviews others"over 4 situations 
data(rbqv3.items)
rbqv3.items # the RBQ content
	 # The correlations between extraversion and RBQ001 in Situation 1 
cor(RSPdata$sEXT,RSPdata$v2rbq001)
cor(RSPdata$sEXT,RSPdata$v3rbq001) # ... Situation 2 
cor(RSPdata$sEXT,RSPdata$v4rbq001) # ... Situation 3
cor(RSPdata$sEXT,RSPdata$v5rbq001) # ... Situation 4 
	#now to use cor.comb to combine meta-analytically
cor.comb(y1=RSPdata$sEXT,y2=RSPdata$sEXT,y3=RSPdata$sEXT,y4=RSPdata$sEXT,
         x1=RSPdata$v2rbq001,x2=RSPdata$v3rbq001,x3=RSPdata$v4rbq001,x4=RSPdata$v5rbq001)
#now to test the replicability of these results
data(v2rbq)
data(v3rbq)
data(v4rbq)
data(v5rbq)

# Note in practice sims = 100 or more might be preferred
cor.comb.rep(x1=RSPdata$sEXT,x2=RSPdata$sEXT,x3=RSPdata$sEXT,
	x4=RSPdata$sEXT,set1=v2rbq,set2=v3rbq,set3=v4rbq,set4=v5rbq, sims=5)